To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FEM")

In most cases, you don't need to download the package archive at all.

FEM

Identification of FunctionalEpigenetic Modules

Bioconductor version: 3.0

FEM can dentify interactome hotspots of differential promoter methylation and differential ex-pression, where an inverse association between promoter methylation and gene expression is assumed.

Author: Andrew E. Teschendorff and Yinming Jiao

Maintainer: Andrew E. Teschendorff <andrew at picb.ac.cn>, Yinming Jiao <20907099 at mail.zju.edu.cn>

Citation (from within R, enter citation("FEM")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("FEM")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("FEM")

 

PDF R Script A R package to identify interactome hotspots of differential promoter methylation and differential expression, where an inverse association between promoter methylation and gene expression is assumed1.
PDF   Reference Manual

Details

biocViews DNAMethylation, DifferentialExpression, DifferentialMethylation, GeneRegulation, Network, NetworkEnrichment, Software, SystemsBiology
Version 1.0.0
In Bioconductor since BioC 3.0 (R-3.1)
License GPL (>=2)
Depends R (>= 2.10), Matrix, igraph, marray, corrplot, impute, limma, org.Hs.eg.db, graph, BiocGenerics
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source FEM_1.0.0.tar.gz
Windows Binary FEM_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) FEM_1.0.0.tgz
Mac OS X 10.9 (Mavericks) FEM_1.0.0.tgz
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